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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 715
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    INDEX
    Explanations

    expressions indicating involvement or participation

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "are" and its variants in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Azerb
    -0.74
     Niet
    -0.69
     srfAttach
    -0.68
     Seym
    -0.63
    smanship
    -0.62
     disadvant
    -0.61
    edIn
    -0.61
    icism
    -0.59
    sequently
    -0.58
     fert
    -0.58
    POSITIVE LOGITS
    wolves
    0.80
     SHARES
    0.75
    senal
    0.71
    wolf
    0.69
    CRIPTION
    0.66
     photos
    0.62
    ENN
    0.61
    olin
    0.59
    lections
    0.59
     IMAGES
    0.58
    Activations Density 0.059%

    No Known Activations